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Q‐sort methodology: Bridging the divide between qualitative and quantitative. An introduction to an innovative method for psychotherapy research
Author(s) -
Rost Felicitas
Publication year - 2021
Publication title -
counselling and psychotherapy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.38
H-Index - 32
eISSN - 1746-1405
pISSN - 1473-3145
DOI - 10.1002/capr.12367
Subject(s) - viewpoints , bridging (networking) , qualitative property , psychology , subjectivity , sort , data collection , computer science , attractiveness , narrative , management science , epistemology , sociology , social science , engineering , art , computer network , philosophy , linguistics , machine learning , psychoanalysis , visual arts , information retrieval
Q‐methodology offers unique opportunities for counselling and psychotherapy researchers and clinicians. It is an innovative technique capable of bridging the divide between clinical knowledge and the quantitative systematisation of it. It was initially developed by Stephenson as a data collection and data analytic method to empirically study human subjectivity. It was then extended by the British School to study shared viewpoints, thereby adopting a multi‐participant design and a highly unusual form of qualitative analysis. Finally, it was adapted by the Californian School for use as a standardised observer‐rated assessment tool. Its attractiveness stems from its aptitude to produce holistic data as it collects both quantitative and narrative data. This paper will provide an introduction to Q‐statistics and Q‐methodology (person‐centred) by contrasting it to R‐statistics and R‐methodology (variable‐centred). It will then provide an overview of the three schools of Q‐methodology and their various merits demonstrated with an example.